Your browser doesn't support javascript.
loading
Direct manufacturing of ultrathin graphite on three-dimensional nanoscale features.
Pacios, Mercè; Hosseini, Peiman; Fan, Ye; He, Zhengyu; Krause, Oliver; Hutchison, John; Warner, Jamie H; Bhaskaran, Harish.
Afiliación
  • Pacios M; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • Hosseini P; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • Fan Y; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • He Z; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • Krause O; Nanoworld Services GmbH, Schottkystraße 10, 91058 Erlangen Germany.
  • Hutchison J; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • Warner JH; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
  • Bhaskaran H; Department of Materials, University of Oxford, Oxford, OX1 3PH United Kingdom.
Sci Rep ; 6: 22700, 2016 Mar 04.
Article en En | MEDLINE | ID: mdl-26939862
There have been many successful attempts to grow high-quality large-area graphene on flat substrates. Doing so at the nanoscale has thus far been plagued by significant scalability problems, particularly because of the need for delicate transfer processes onto predefined features, which are necessarily low-yield processes and which can introduce undesirable residues. Herein we describe a highly scalable, clean and effective, in-situ method that uses thin film deposition techniques to directly grow on a continuous basis ultrathin graphite (uG) on uneven nanoscale surfaces. We then demonstrate that this is possible on a model system of atomic force probe tips of various radii. Further, we characterize the growth characteristics of this technique as well as the film's superior conduction and lower adhesion at these scales. This sets the stage for such a process to allow the use of highly functional graphite in high-aspect-ratio nanoscale components.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article